compute

0th

Percentile

Computation of a given neural network for given covariate vectors

compute, a method for objects of class nn, typically produced by neuralnet. Computes the outputs of all neurons for specific arbitrary covariate vectors given a trained neural network. Please make sure that the order of the covariates is the same in the new matrix or dataframe as in the original neural network.

Keywords
neural
Usage
compute(x, covariate, rep = 1)
Arguments
x
an object of class nn.
covariate
a dataframe or matrix containing the variables that had been used to train the neural network.
rep
an integer indicating the neural network's repetition which should be used.
Value

compute returns a list containing the following components:

Aliases
  • compute
Examples
Var1 <- runif(50, 0, 100) 
sqrt.data <- data.frame(Var1, Sqrt=sqrt(Var1))
print(net.sqrt <- neuralnet(Sqrt~Var1,  sqrt.data, hidden=10, 
                  threshold=0.01))
compute(net.sqrt, (1:10)^2)$net.result
Documentation reproduced from package neuralnet, version 1.33, License: GPL (>= 2)

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